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Intelligent V2G charging method with two-stage scheduling structure based on dynamic integrator

A charging method and integrator technology, applied in the direction of circuit devices, AC network circuits, AC network load balancing, etc., to achieve the effects of reasonable energy management, load peak reduction, and smooth load distribution

Inactive Publication Date: 2019-02-22
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, given the importance of EV integration to the operation of electricity networks, the impact of plug-in EV charging on distribution transformer aging and loading has only been investigated in very little literature.

Method used

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  • Intelligent V2G charging method with two-stage scheduling structure based on dynamic integrator
  • Intelligent V2G charging method with two-stage scheduling structure based on dynamic integrator
  • Intelligent V2G charging method with two-stage scheduling structure based on dynamic integrator

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example 1

[0069] Example 1: To verify the performance of this charging strategy, the MATLAB simulation results are compared with two basic constant power (CP) and constant time (CT) methods, and the SOC Lmin and SOC Lmax As 0.3 and 0.9 respectively, Table 4 uses the normal distribution function to generate input data for the three variables to describe the constant of the charging situation, and the charging power is between -2.4kw and 2.4kw. Q l It is 18kw.

[0070] Such as Figure 5 As shown, the constant-time charging load and constant-power charging load are added to the peak load, increasing the peak load of the transformer, and then injecting electric energy into the grid during the peak load, resulting in a decrease in the load peak, and charging the PEV at the off-peak time, Smoothes the transformer load curve.

[0071] Image 6 ab shows the final SOC of the battery and its change profile. As shown, using the proposed method, the PEV is more likely to have a considerable a...

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Abstract

The invention relates to an intelligent V2G charging method with a two-stage scheduling structure based on a dynamic integrator. The method takes the influence of charging and discharging of a plug-inelectric vehicle (PEV) on the power grid into account, and considers its influence on the performance of a distribution transformer. In the first stage, the BEE algorithm (BA) is used as an aggregator to optimize and calculate the optimal charging of each plug-in electric vehicle; and in the second stage, the fuzzy logic controller (FLC) is used to distribute power between electric vehicles (EVS). The framework considers nonlinear dynamic characteristics of the plug-in electric vehicle battery in various practical conditions. The main advantages of this method are that the method reduces theload peak, smoothes the load distribution of a transformer, considers the nonlinear dynamic characteristics of the plug-in electric vehicle battery, and performs reasonable energy management of the battery when a charging station disconnects a power supply from time to time.

Description

technical field [0001] The invention belongs to the technical field of electric energy metering, and relates to a charging strategy for an electric vehicle connected to a power grid, in particular to an intelligent V2G charging method based on a dynamic integrator-based two-level scheduling structure. Background technique [0002] Due to growing concerns about global warming, diminishing fossil fuel resources, and greenhouse gas emissions, electric vehicles have attracted increasing attention in the field of transportation, and in the absence of precise charging strategies, the use of electric vehicles in distribution grids High penetration may place additional stress on the grid, voltage sags, system losses and increased load peaks. Smart grid technology provides the connection structure between electric vehicles and the distribution network. With the emergence of smart grid technology, there will be many options for intelligent charging of electric vehicles. [0003] Many...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/32
CPCH02J3/32H02J2203/20
Inventor 李磊李晓辉赵新徐亮刘伟东刘小琛梁彬陈彬刘洋洋谢秦赵庆来邹琪杨光李丹
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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